A. Ortega-Gonzalez, U. Robles-Cervantes, I.N. Espiritu-Lopez, M. Ibarra-Manzano
{"title":"识别关节及其位置","authors":"A. Ortega-Gonzalez, U. Robles-Cervantes, I.N. Espiritu-Lopez, M. Ibarra-Manzano","doi":"10.1109/ICMEAE.2019.00030","DOIUrl":null,"url":null,"abstract":"This article presents the implementation of an algorithm for the classification of flexion angles in the joints. The proposed algorithm statistical models the data coming from a fiber sensor to detect flexion in a join. The system filters, models and classifies the signals of a fiber sensor, in addition to comparing the results of the classification for different joints.","PeriodicalId":422872,"journal":{"name":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"105 6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of joints and their positions\",\"authors\":\"A. Ortega-Gonzalez, U. Robles-Cervantes, I.N. Espiritu-Lopez, M. Ibarra-Manzano\",\"doi\":\"10.1109/ICMEAE.2019.00030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article presents the implementation of an algorithm for the classification of flexion angles in the joints. The proposed algorithm statistical models the data coming from a fiber sensor to detect flexion in a join. The system filters, models and classifies the signals of a fiber sensor, in addition to comparing the results of the classification for different joints.\",\"PeriodicalId\":422872,\"journal\":{\"name\":\"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)\",\"volume\":\"105 6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICMEAE.2019.00030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMEAE.2019.00030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This article presents the implementation of an algorithm for the classification of flexion angles in the joints. The proposed algorithm statistical models the data coming from a fiber sensor to detect flexion in a join. The system filters, models and classifies the signals of a fiber sensor, in addition to comparing the results of the classification for different joints.
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